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OpenAI + RevenueCat + Supabase in a React Native boilerplate

Does AI Mobile Launcher support this combo?

Yes. The AI Pro tier ships OpenAI as one of two cloud LLM providers (the other is Gemini), RevenueCat as the subscription layer with a pre-built paywall, and Supabase for auth + Postgres + row-level security. It calls the OpenAI API directly over REST with no SDK package, which keeps the bundle small and side-steps the Node-only dependencies most JS SDKs carry.

The stack

Setup in five steps

1. Clone and install

git clone <ai-pro-tier-repo>
cd ai-mobile-launcher
pnpm install

2. OpenAI key

# .env
OPENAI_API_KEY=sk-...
OPENAI_MODEL=gpt-4o-mini  # or gpt-4o for higher quality

The key is read on the server side of a thin proxy you deploy yourself (Supabase Edge Function or Cloudflare Worker). Never ship the OpenAI key inside the mobile bundle, because anyone with mitmproxy can extract it.

3. Supabase

# .env
EXPO_PUBLIC_SUPABASE_URL=https://<project>.supabase.co
EXPO_PUBLIC_SUPABASE_ANON_KEY=<anon-key>

Apple sign-in, Google sign-in, email/password, and biometric unlock are wired. Tokens persist in expo-secure-store (Keychain on iOS, Keystore on Android).

4. RevenueCat

# .env
EXPO_PUBLIC_REVENUECAT_IOS_KEY=appl_...
EXPO_PUBLIC_REVENUECAT_ANDROID_KEY=goog_...

Paywall component, free-trial flow, restore purchases, 48-hour re-prompt cooldown, A/B variants: all wired. Define your products in App Store Connect / Play Console, then link them in the RevenueCat dashboard.

5. EAS dev build

eas build --profile development --platform ios
eas build --profile development --platform android

Why this combo works

OpenAI is the default cloud LLM for most B2C AI apps in 2026, not because it is the smartest model (it usually is not, by the time you ship), but because gpt-4o-mini gives you a price-quality floor that survives a viral spike. At $0.150 input / $0.600 output per million tokens, a 500-token chat round-trip costs around $0.0004. You can run a free tier and not panic.

RevenueCat exists because Apple and Google receipt validation is a swamp. You write the code once, then receipts break in TestFlight, sandbox runs differently from prod, refunds take two weeks to propagate. RevenueCat handles all of it and gives you cohort retention out of the box.

Supabase is the right backend for an AI app specifically because pgvector ships in every Supabase project. You do not need a separate vector DB to build a RAG feature. Row-level security gives you per-user data isolation in SQL, not in middleware.

What it costs at scale

Line item1K MAU100K MAU
OpenAI (gpt-4o-mini, 10 chats/user/mo, 500 tokens)~$4~$400
RevenueCat (free tier, then percentage of MTR)$0~$200
Supabase Pro ($25/mo + usage)$25~$125
Apple / Google store fees (15-30%)n/a~$1500-3000 on $10K MRR
Total infra (excl. store)~$29~$725

Numbers assume average usage. A power user running 100 chats/day blows the OpenAI line item up fast, so rate-limit per user on day one.

What this combo does NOT cover

Get this combo

OpenAI + RevenueCat + Supabase ships in the AI Pro tier ($199). The Standard tier ($99) is the same base without any AI providers, so you wire OpenAI yourself in ~2 hours.

See AI Pro tier ($199)Standard tier ($99)

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